Connecting and combining STT and TTS
Budget: $30 – $250 USD
Project outline and requirements
1. Project goal: Build a character that can communicate in real time
2. Current status: Real-time conversation possible through API by implementing characters using open source
3. Restrictions: Only the basic voice of OpenAI can be used
Four. Requirements: In order for the user to output to the desired voice, the GPT 4o Audio model answers the text when inputting text or microphone, and the input to the TTS of the local PC and output to the desired voice.
Technical requirements
• Programming language: Node.js, TypeScript, JavaScript
• Technical understanding: STT(Speech-to-Text), TTS(Text-to-Speech) and LLM API utilization
• Function implementation: GPT 4o Audio model and local TTS system connection
Implementation plan
1. STT and GPT 4o Audio model linkage:
• Convert the user's voice input to STT to text
• Enter the converted text into the GPT 4o Audio model to create a text answer.
2. TTS system linkage:
• Input the text output of the GPT 4o Audio model into the local TTS system
• Voice output with the voice that the user wants
3. Utilization of Node.js and TypeScript:
• Use Node.js and TypeScript to implement data transmission and processing between STT, GPT 4o Audio models, and TTS systems
Four. API integration:
• Ensure smooth data processing and transmission through integration with the existing LLM API
This project aims to provide real-time conversations with the voice that users want through the combination of STT, TTS, and LLM API. It is important to implement these functions by utilizing Node.js and TypeScript.
1. Project goal: Build a character that can communicate in real time
2. Current status: Real-time conversation possible through API by implementing characters using open source
3. Restrictions: Only the basic voice of OpenAI can be used
Four. Requirements: In order for the user to output to the desired voice, the GPT 4o Audio model answers the text when inputting text or microphone, and the input to the TTS of the local PC and output to the desired voice.
Technical requirements
• Programming language: Node.js, TypeScript, JavaScript
• Technical understanding: STT(Speech-to-Text), TTS(Text-to-Speech) and LLM API utilization
• Function implementation: GPT 4o Audio model and local TTS system connection
Implementation plan
1. STT and GPT 4o Audio model linkage:
• Convert the user's voice input to STT to text
• Enter the converted text into the GPT 4o Audio model to create a text answer.
2. TTS system linkage:
• Input the text output of the GPT 4o Audio model into the local TTS system
• Voice output with the voice that the user wants
3. Utilization of Node.js and TypeScript:
• Use Node.js and TypeScript to implement data transmission and processing between STT, GPT 4o Audio models, and TTS systems
Four. API integration:
• Ensure smooth data processing and transmission through integration with the existing LLM API
This project aims to provide real-time conversations with the voice that users want through the combination of STT, TTS, and LLM API. It is important to implement these functions by utilizing Node.js and TypeScript.